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检索条件"任意字段=International Symposium Distributed Computing and Applications Business Engineering and Science"

共 3572 条记录，以下是1331-1340 订阅

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Energy-Aware Resource Allocation in Multi-mode Automotive applications with Hard Real-Time Constraints

Energy-Aware Resource Allocation in Multi-mode Automotive Ap...

引用

international symposium on Object-Oriented Real-Time distributed computing

作者： Piotr Dziurzanski Amit Kumar Singh Leandro Soares Indrusiak Department of Computer Science University of York York UK

ISBN: (纸本)9781467390330

This paper presents an energy aware resource allocation approach that benefits from modal nature of hard real-time systems under consideration. The modal nature of considered applications made it possible to decrease the number of active cores consuming high power in certain modes or to switch into core states with lower power consumption, which lead to considerable energy savings while still not violating any of timing constraints. For the considered automotive use case, the number of required cores has been decreased by up to 75% in a particular mode and relatively low amount of data is to be migrated during the mode change. The trade-off between the amount of data to be migrated and energy dissipation in the subsequent state is also analysed.

关键词： Switches Real-time systems Resource management Timing Automotive engineering Engines Genetic algorithms

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Use Pre-record Algorithm to Improve Process Migration Efficiency 14

Use Pre-record Algorithm to Improve Process Migration Effici...

引用

international symposium distributed computing and applications business engineering and science

作者： Shan Zhongyuan Qiao Jianzhong Lin Shukuan Zhang Qiang Northeastern Univ Coll Informat Sci & Engn Shenyang Peoples R China

ISBN: (纸本)9781467365932

Process migration is one of the most important features in parallel and distributed computing. It enables dynamic load balance and makes better utilization of computing resource. Post-copy is a very efficient migration algorithm but it needs process to resume on destination node with incomplete address space which may significantly reduce its efficiency especially at the initial phase. To solve this problem, we propose a new algorithm named as Pre-record. It will prolong process execution on host node for a short while before suspend and record the used memory pages. While transmitting process address space, these recorded pages will be transferred preferentially. So, At the initial phase of process resume on destination node, the needed memory pages have already been stored, no pages faults occurs. We evaluate Prerecord performance through simulation test, make a comparison with the other algorithms, and the results shows that Pre-Record could significantly reduce page faults number and improve process migration efficiency.

关键词： address space distributed computing page fault post-copy process migration

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Evaluation of Testing Software Program Based on DEA with Fuzzy Window 14

Evaluation of Testing Software Program Based on DEA with Fuz...

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international symposium distributed computing and applications business engineering and science

作者： Li Xiang-Juan Ke Zun-You Nanjing Univ Tradit Chinese Med Coll Business Adm Nanjing Jiangsu Peoples R China Nanjing Inst Mech Technol Dept Informat Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781467365932

Based on the DEA (Data Envelopment Analysis) traditional model, an improved evaluation model is introduced for the fuzzy index value and fuzzy preference weight information. The improved model is applied in evaluation of automatic testing software programs. Firstly, the subjective index values are transformed into fuzzy numbers. Secondly, the subjective preference weights are constructed as a constrain of fuzzy window. Finally, the improved fuzzy DEA model is established to access the comprehensive evaluation of automatic testing software programs. A typical solving algorithm for the evaluation model is practiced. The instance simulation carries out the evaluation with direct subjective weight preference information, resulting in automatic testing software programs keeping consistence for different confidence levels.

关键词： system modeling data envelopment analysis fuzzy window testing software program evaluation

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IPDRM 2016 Keynote

IPDRM 2016 Keynote

引用

IEEE international symposium on Parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Henry Hoffmann University of Chicago Chicago IL US

ISBN: (纸本)9781509036837

Summary form only given. Approximate computing has recently received a great deal of attention from a range of researchers including circuit designers, hardware architects, and programming language designers. This talk discusses some of the recent trends in approximate computing and then argues that really approximation is something that application developers have been doing all along. So, perhaps the biggest insight in the current trend in approximation is that by exposing the things applications developers approximate to the rest of the computer system, there is the opportunity to do even more. We then investigate one of those things that is possible when the computer system can coordinate with an approximate application. Specifically, we discuss JouleGuard: a framework that coordinates approximate applications with system resource usage to meet user-defined energy goals with control theoretic formal guarantees. We show results of using JouleGuard on three different platforms (a mobile, tablet, and server) with eight different approximate applications created from two different frameworks. We find that JouleGuard respects energy budgets, provides near optimal accuracy, adapts to phases in application workload, and provides better outcomes than application approximation or system resource adaptation alone. JouleGuard is general with respect to the applications and systems it controls, making it a suitable runtime for a number of approximate computing frameworks.

关键词： Approximate computing Computer science Market research Computers Multicore processing Electrical engineering

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Message from the IEEE TrustCom/BigDataSE/ISPA 2016 General Chairs

Proceedings - 15th IEEE International Conference on Trust, S...

引用

Proceedings - 15th IEEE international Conference on Trust, Security and Privacy in computing and Communications, 10th IEEE international Conference on Big Data science and engineering and 14th IEEE international symposium on Parallel and distributed Processing with applications, IEEE TrustCom/BigDataSE/ISPA 2016 2016年 xxxi-xxxii页

作者： Jin, Hai Kato, Nei Dillion, Tharam Gaudiot, Jean-Luc Cao, Jiannong Zomaya, Albert Fox, Geoffrey Guo, Minyi Ganti, Raghu Huazhong University of Science and Technology China Tohoku University Japan Latrobe University Australia University of California Irvine United States Hong Kong Polytechnic University Hong Kong Hong Kong University of Sydney Australia Indiana University United States Shanghai Jiao Tong University China IBM T. J. Watson Research Center United States

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Combined Approach to Reliability of Great Software Complexes for distributed computing with Big Data in Contemporary Physical Experiments

Combined Approach to Reliability of Great Software Complexes...

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international symposium on Stochastic Models in Reliability engineering, Life science and Operations Management (SMRLO)

作者： Gennady Ososkov Laboratory of Information Technologies Joint Institute for Nuclear Research (JINR) Dubna Russia

The new challenging era of scientific data management in the coming decade named "Big Data" requires giant complexes for distributed computing and corresponding grid-cloud internet services. Known common approaches to software reliability based on the probability theory or on considering software as an open non-equilibrium dynamic system cannot conform to advanced grid-cloud software management systems. Therefore to provide the optimality and reliability of such sophisticated systems we choose the imitative simulation method oriented on a knowledge of dynamics of the system functioning. A new grid and cloud service simulation system was developed in the JINR Dubna laboratory of information technologies which focused on improving the efficiency and reliability of the grid-cloud systems development by using work quality indicators of some real system to design and predict its evolution. For these purposes the simulation program is combined with real monitoring system of the gridcloud service through a special database. Some examples of the program applications to simulate a sufficiently general cloud structure, which can be used for more common purposes, are given.

关键词： Decision support systems Reliability engineering Cloud computing Stochastic processes Data models Life sciences Computational modeling

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ANN Based High Spatial Resolution Remote Sensing Wetland Classification 14

ANN Based High Spatial Resolution Remote Sensing Wetland Cla...

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international symposium distributed computing and applications business engineering and science

作者： Ke Zun-You An Ru Li Xiang-Juan Hohai Univ Sch Earth Sci & Engn Nanjing Jiangsu Peoples R China Nanjing Inst Mech Technol Dept Informat Engn Nanjing Jiangsu Peoples R China Nanjing Univ Tradit Chinese Med Coll Business Adm Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781467365932

RS(Remote Sensing) image classification based on ANN(Artificial Neural Network) is carried out with high spatial resolution images of the wetland, which is the most important ecological environment element within the land components. Wetland dynamic change monitoring is often built upon its classification result concerned here. The typical high spatial resolution image of the wetland in Nanjing is used as a study case by ANN method in comparison with MLC(Maximum Likelihood Classification). Furthermore, the optimal number of ANN hidden neurons are simulated for enhance the classification effectivity. Totally, the results show classification method of ANN with optimal hidden neurons can effectively distinguish ground objects and improve the classification accuracy. The overall accuracy of the ANN classification is up to 93% and the Kappa coefficient is over 0.89.

关键词： Wetland Classification Artificial Neural Network Remote Sensing High Spatial Resolution Image Hidden Neuron Number

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Global evolution-constructed feature for date maturity evaluation 12th

Global evolution-constructed feature for date maturity evalu...

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12th international symposium on Visual computing, ISVC 2016

作者： Zhang, Meng Lee, Dah-Jye Department of Electrical and Computer Engineering Brigham Young University ProvoUT84602 United States

ISBN: (纸本)9783319508313

Evolution-Constructed (ECO) Feature as a method to learn image features has achieved very good results on a variety of object recognition and classification applications. When compared with hand-crafted features, ECO-Feature is capable of constructing non-intuitive features that could be overlooked by human experts. Although the ECO features are easy to compute, they are sensitive to small variation of object location and orientation in the images. This paper presents an improved ECO-Feature that addresses these limitations of the original ECO-Feature. The proposed method constructs a global representation of the object and also achieves invariance to small deformations. Two major changes are made in the proposed method to achieve good performance. A non-linear down-sampling technique is employed to reduce the dimensionality of the generated global features and hence improve the training efficiency of ECO-Feature. We apply the global ECO-Feature on a dataset of fruit date to demonstrate the improvement on the original ECO-Feature and the experimental results show the global ECO-Feature’s ability to generate better features for date maturity evaluation. © Springer international Publishing AG 2016.

关键词： Object recognition

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DataNet: A Data Distribution-Aware Method for Sub-Dataset Analysis on distributed File Systems

DataNet: A Data Distribution-Aware Method for Sub-Dataset An...

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international symposium on Parallel and distributed Processing (IPDPS)

作者： Jun Wang Jiangling Yin Jian Zhou Xuhong Zhang Ruijun Wang Department of Electrical Engineering and Computer Science University of Central Florida Orlando FL

ISBN: (纸本)9781509021413

In this paper, we study the problem of sub-dataset analysis over distributed file systems, e.g, the Hadoop file system. Our experiments show that the sub-datasets' distribution over HDFS blocks can often cause the corresponding analysis to suffer from a seriously imbalanced parallel execution. This is because the locality of individual sub-datasets is hidden by the Hadoop file system and the content clustering of sub-datasets results in some computational nodes carrying out much more workload than others. We conduct a comprehensive analysis on how the imbalanced computing patterns occur and their sensitivity to the size of a cluster. We then propose a novel method to optimize sub-dataset analysis over distributed storage systems referred to as DataNet. DataNet aims to achieve distribution-aware and workload-balanced computing and consists of the following three parts. Firstly, we propose an efficient algorithm with linear complexity to obtain the meta-data of sub-dataset distributions. Secondly, we design an elastic storage structure called ElasticMap based on the HashMap and BloomFilter techniques to store the meta-data. Thirdly, we employ a distribution-aware algorithm for sub-dataset applications to achieve a workload-balance in parallel-execution. Our proposed method can benefit different sub-dataset analyses with various computational requirements. Experiments are conducted on PRObEs Marmot 128-node cluster testbed and the results show the performance benefits of DataNet.

关键词： Algorithm design and analysis Motion pictures distributed databases Clustering algorithms business File systems Facebook

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Data Analysis of distributed Application Platform Based on the R which Apply to Digital Library 14

Data Analysis of Distributed Application Platform Based on t...

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international symposium distributed computing and applications business engineering and science

作者： Wu, Ningbo Yang, Fan Guizhou Univ Finance & Econ Coll Informat Guiyang Peoples R China Guizhou Univ Finance & Econ Guiyang Peoples R China

ISBN: (纸本)9781467365932

Digital Library large data resource lack of analysis and use, in order to mining the value of big data resources, proposed platformization analysis and processing mode. By integrate R and Hadoop to construct distributed data analysis platform, many big data analytical can be decomposed into "large" and "small" data processing section, overcome before scheme puzzle on analytical of large dataset, improve the performance of data analysis, platform able to handle data analysis tasks.

关键词： component big data distributed data analysis

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